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A scoping review on electric vehicle charging strategies with a technical, social, and regulatory feasibility evaluation

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  • Christensen, K.
  • Ma, Z.G.
  • Jørgensen, B.N.

Abstract

The growing use of electric vehicles presents a challenge of grid overload due to simultaneous, large-scale charging. Implementing smart charging strategies, which require careful consideration of unique regional conditions, isn't straightforward. Additionally, a systematic method for assessing strategy feasibility based on local needs is missing in the current literature, hindering effective deployment. Therefore, this study conducts a comprehensive exploration and evaluation of smart electric vehicle charging strategies with the scoping review and multi-criteria evaluation methods to critically investigate existing smart electric vehicle charging strategies, and assesses their feasibility of implementation in specific regional contexts, using Denmark's electric vehicle home charging as a case study. The scoping review is based on 95 full-text articles and analyzes 43 commonly discussed electric vehicle charging strategies, with most literature focusing on real-time pricing and time-of-use pricing strategies. We categorize electric vehicle charging strategies into four key dimensions: charging architecture, data requirements, intelligence level, and applied methods. Of the 27 identified methods, linear programming and the heuristic method are most prevalently utilized, showing a close correlation between data requirement levels and the chosen methods. Literature reflects a discourse on both operational and monetary objectives of electric vehicle charging strategies from the vantage point of grid operators, aggregators, and electric vehicle users. The results from the multi-criteria feasibility evaluation of the Danish case show that time-of-use pricing, real-time pricing, and timed charging strategies rank among the seven most feasible strategies for electric vehicle home charging in Denmark.

Suggested Citation

  • Christensen, K. & Ma, Z.G. & Jørgensen, B.N., 2025. "A scoping review on electric vehicle charging strategies with a technical, social, and regulatory feasibility evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    • Handle: RePEc:eee:rensus:v:211:y:2025:i:c:s1364032124010268
    DOI: 10.1016/j.rser.2024.115300
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    1. Ramos Muñoz, Edgar & Jabbari, Faryar, 2020. "A decentralized, non-iterative smart protocol for workplace charging of battery electric vehicles," Applied Energy, Elsevier, vol. 272(C).
    2. Hu, Jie & Liu, Di & Du, Changqing & Yan, Fuwu & Lv, Chen, 2020. "Intelligent energy management strategy of hybrid energy storage system for electric vehicle based on driving pattern recognition," Energy, Elsevier, vol. 198(C).
    3. Heinisch, Verena & Göransson, Lisa & Erlandsson, Rasmus & Hodel, Henrik & Johnsson, Filip & Odenberger, Mikael, 2021. "Smart electric vehicle charging strategies for sectoral coupling in a city energy system," Applied Energy, Elsevier, vol. 288(C).
    4. Al-Bahrani, Loau Tawfak & Horan, Ben & Seyedmahmoudian, Mehdi & Stojcevski, Alex, 2020. "Dynamic economic emission dispatch with load dema nd management for the load demand of electric vehicles during crest shaving and valley filling in smart cities environment," Energy, Elsevier, vol. 195(C).
    5. Khemakhem, Siwar & Rekik, Mouna & Krichen, Lotfi, 2019. "Double layer home energy supervision strategies based on demand response and plug-in electric vehicle control for flattening power load curves in a smart grid," Energy, Elsevier, vol. 167(C), pages 312-324.
    6. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    7. García-Villalobos, J. & Zamora, I. & San Martín, J.I. & Asensio, F.J. & Aperribay, V., 2014. "Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 717-731.
    8. Hu, Junjie & Morais, Hugo & Sousa, Tiago & Lind, Morten, 2016. "Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1207-1226.
    9. Tuchnitz, Felix & Ebell, Niklas & Schlund, Jonas & Pruckner, Marco, 2021. "Development and Evaluation of a Smart Charging Strategy for an Electric Vehicle Fleet Based on Reinforcement Learning," Applied Energy, Elsevier, vol. 285(C).
    10. He, Hongwen & Wang, Chen & Jia, Hui & Cui, Xing, 2020. "An intelligent braking system composed single-pedal and multi-objective optimization neural network braking control strategies for electric vehicle," Applied Energy, Elsevier, vol. 259(C).
    11. Iversen, Emil B. & Morales, Juan M. & Madsen, Henrik, 2014. "Optimal charging of an electric vehicle using a Markov decision process," Applied Energy, Elsevier, vol. 123(C), pages 1-12.
    12. Luo, Yugong & Zhu, Tao & Wan, Shuang & Zhang, Shuwei & Li, Keqiang, 2016. "Optimal charging scheduling for large-scale EV (electric vehicle) deployment based on the interaction of the smart-grid and intelligent-transport systems," Energy, Elsevier, vol. 97(C), pages 359-368.
    13. Khemakhem, Siwar & Rekik, Mouna & Krichen, Lotfi, 2017. "A flexible control strategy of plug-in electric vehicles operating in seven modes for smoothing load power curves in smart grid," Energy, Elsevier, vol. 118(C), pages 197-208.
    14. Goli, P. & Shireen, W., 2014. "PV powered smart charging station for PHEVs," Renewable Energy, Elsevier, vol. 66(C), pages 280-287.
    15. Kristoffer Christensen & Zheng Ma & Bo Nørregaard Jørgensen, 2021. "Technical, Economic, Social and Regulatory Feasibility Evaluation of Dynamic Distribution Tariff Designs," Energies, MDPI, vol. 14(10), pages 1-24, May.
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